DocumentCode
2872136
Title
On modeling nonstationary geomagnetic signal
Author
Hong, Jiang
Author_Institution
Graduate Dept., China Univ. of Min. & Technol., Beijing, China
Volume
2
fYear
1998
fDate
1998
Firstpage
1593
Abstract
Based on the smoothness priors constraint, an approach for modeling time series with nonstationary mean is employed in analyzing geomagnetic data during earthquakes. The overall model is fitted by using the Bayesian idea, the Kalman filter and Akeike´s AIC modeling criterion. The trends and irregular components of geomagnetic signals during earthquakes can be modeled simultaneously and the spectrum of irregular components is obtained to analyze frequency features of the geomagnetic field during earthquakes
Keywords
Bayes methods; Kalman filters; earthquakes; geophysical signal processing; time series; Akeike AIC modeling criterion; Bayesian idea; Kalman filter; earthquakes; frequency features; geomagnetic data; nonstationary geomagnetic signal modeling; nonstationary mean; time series; Bayesian methods; Data analysis; Difference equations; Frequency; Geomagnetism; Maximum likelihood estimation; Signal analysis; Smoothing methods; Stochastic systems; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770931
Filename
770931
Link To Document